Explain about RAG and the roadmap process? Explain linear regression, random forest and SVM?
Data Intern Interview Questions
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What features would you need for predicting cars sales?
The interview focused manily on Machine Learning algorithms and their applications, as well as questions on several topics of Statistics like Hypothesis testing, Point Estimation, Confidence Interval and Covariance relations. The round ended with some confusing problems on Probability, and some coding questions( DP- LPS, Bit Manipulation and array based questions)
I was asked some coding questions involving data manipulation with multiple tables
They asked low level questions about databases such as the structures that make them work
They asked me the 25 horses problem
General behavioral questions, e.g., "walk me through your resume."
Since I contacted via LinkedIn saying I'm interested in an internship, without actually applying any specific position, it was not quite clear to me what exactly I was interviewing for. I thought I was interviewing for data analytics, but he asked several web development questions. I'm actually fine with doing both, but didn't quite prepare well. The interviewer asked me whether I've used Backbone.js which I haven't. He asked a simply algorithm question (fibbonacci sequence) and I give two solutions. Then he asked a design question, which I immediately noticed a detail, but didn't give a systematic solution, because I was kind of nervous, and there was not enough time left.
What is the p value
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